Sony Xperia 5 II
Geekbench AI Score
251
Single Precision Score
252
Half Precision Score
945
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 5 II |
| Model ID | Sony XQ-AS72 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (Q)
|
96% |
957
178.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1236
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
12899
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
84% |
1144
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
2046
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
316
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
5131
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
17985
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
598
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
231
307.8 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.4 IPS |
|
|
Text Classification (Q)
|
93% |
290
389.2 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.99 IPS |
